| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Analog Devices, Inc. |
BOARD EVAL FOR AD8174 |
1 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR ADM2482 |
1 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR LTC4267-3 |
1 |
|
 |
Analog Devices, Inc. |
ADPD1080 SUPPORT BOARD |
3 |
|
 |
Analog Devices, Inc. |
EVAL BOARD DGTL PFC CTRLR ADP105 |
0 |
|
 |
Analog Devices, Inc. |
LTC4372 DEMO BOARD, LOW IQ DUAL |
7 |
|
 |
Analog Devices, Inc. |
BOARD EVAL ACTIVE BIAS HMC981 |
9 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR HMC832ALP6GE |
1 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR LTC4274A-1 |
1 |
|
 |
Analog Devices, Inc. |
EVAL BOARD HMC724LC3 |
0 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR LTC4052EMS8E |
1 |
|
 |
Analog Devices, Inc. |
DEMO BOARD FOR LTM2887-5I |
1 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR AD9984 |
1 |
|
 |
Analog Devices, Inc. |
DEMO BRD LTC4125EUFD LTC4120EUD |
39 |
|
 |
Analog Devices, Inc. |
EVAL BOARD AFE FRONT END AD8451 |
0 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR ADG4612 |
0 |
|
 |
Analog Devices, Inc. |
DEMO BOARD LT3669-2 |
1 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR LT3468ES5 |
0 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR ADM2582 |
1 |
|
 |
Analog Devices, Inc. |
EVAL CIRCUIT BOARD USB |
4 |
|
Evaluation and Demonstration Boards and Kits are hardware platforms designed to facilitate the development, testing, and demonstration of electronic systems. They serve as critical tools for engineers and developers to prototype applications, validate designs, and accelerate time-to-market. These boards integrate processors, sensors, communication interfaces, and software ecosystems, enabling rapid experimentation across diverse industries such as IoT, automotive, and industrial automation.
| Type | Functional Features | Application Examples |
|---|---|---|
| Microcontroller Development Boards | Embedded CPUs, GPIOs, integrated peripherals | IoT devices, robotics |
| FPGA Evaluation Boards | Reconfigurable logic, high-speed interfaces | Communication systems, AI accelerators |
| Sensor Expansion Kits | Multi-sensor integration (temperature, motion, etc.) | Smart agriculture, environmental monitoring |
| Wireless Communication Modules | Bluetooth/Wi-Fi/LoRa protocols, antenna interfaces | Connected healthcare, smart cities |
Typical architecture includes: - Processing Units: Microcontrollers, FPGAs, or SoCs - Memory: RAM, Flash, EEPROM - Interfaces: USB, UART, SPI, I2C, Ethernet - Power Management: Regulators, battery connectors - Software Stack: SDKs, device drivers, IDEs Physical designs often feature standardized form factors (e.g., Arduino Uno, Raspberry Pi HATs) for modular expansion.
| Parameter | Description |
|---|---|
| Processor Performance (MHz/GHz) | Determines computational capability |
| Memory Capacity (RAM/Flash) | Affects program complexity and data storage |
| Interface Types | Dictates peripheral compatibility |
| Power Consumption (mW/MHz) | Critical for battery-operated devices |
| Operating Temperature (-40 C to +85 C) | Defines environmental durability |
- Internet of Things (IoT): Smart home controllers, edge AI nodes - Automotive: ADAS sensor fusion platforms - Industrial Automation: PLC controllers, predictive maintenance systems - Consumer Electronics: Wearables, AR/VR prototypes
| Manufacturer | Representative Products |
|---|---|
| STMicroelectronics | STM32 Nucleo Series, SensorTile Kit |
| Intel | Intel Edison, Movidius Neural Compute Stick |
| Xilinx | Zynq UltraScale+ MPSoC Evaluation Kit |
| Arduino | Arduino MKR Series, Nano 33 IoT |
Key considerations: 1. Match processor capabilities to application complexity 2. Verify interface compatibility with target peripherals 3. Assess software ecosystem maturity (e.g., ROS support) 4. Evaluate power budget requirements 5. Consider long-term availability and community support
- Growing adoption of RISC-V-based evaluation platforms - Integration of AI/ML accelerators in edge computing boards - Expansion of open-source hardware ecosystems - Increased focus on energy-efficient architectures for IoT - Standardization of form factors (e.g., SparkFun's Qwiic system)